AI Cybersecurity & Compliance

It refers to securing AI systems and ensuring they meet regulatory standards like the EU AI Act or NIST AI RMF. This includes protecting data, models, and outputs.

New global regulations are targeting how AI is developed, used, and governed. Non-compliance can lead to fines, legal exposure, and damaged trust.

Compliance starts with a thorough risk assessment of your AI workflows, followed by documentation, policy creation, and ongoing monitoring. Our team provides assessments, governance frameworks, and audit support to ensure compliance.

Non-compliance can result in fines, lawsuits, loss of certifications, and reputational harm. For example, the EU AI Act allows fines up to €35 million or 7% of annual revenue, depending on severity.

Any organization using AI for decision-making—especially in finance, healthcare, insurance, defense, government, and retail—can benefit. This includes companies using LLMs, recommendation engines, fraud detection models, or AI in clinical workflows.

Yes. We offer bias audits, fairness evaluations, and explainability testing to ensure your models align with ethical AI principles and compliance frameworks like the EU AI Act or NIST AI RMF.

Traditional cybersecurity protects networks, systems, and data. AI security goes further—focusing on protecting models, training data, and outputs from threats like adversarial inputs, model theft, and inference manipulation.

Absolutely. We provide audit-ready documentation, compliance mapping, and support through internal or third-party reviews. Whether you’re preparing for a certification or regulatory inquiry, we’ve got you covered.

Book a consultation or request a risk assessment. We’ll help you understand your exposure and build a roadmap toward secure, compliant AI systems.